it would be like complaining that a water balloon isn’t useful because it isn’t accurate. LLMs are good at approximating language, numbers are too specific and have more objective answers.
I really don’t get what point OP is trying to make with this example though. It accurately answered their misspelled question, and also accurately answered the question they were apparently trying to ask. I don’t see the problem.
it would be like complaining that a water balloon isn’t useful because it isn’t accurate. LLMs are good at approximating language, numbers are too specific and have more objective answers.
I really don’t get what point OP is trying to make with this example though. It accurately answered their misspelled question, and also accurately answered the question they were apparently trying to ask. I don’t see the problem.